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Techniques in Evaluating Nursing Expert Systems: A Case Study
Author(s) -
Harding William T.,
Redmond Richard T.,
Corley Mary C.
Publication year - 1996
Publication title -
nursing forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.618
H-Index - 36
eISSN - 1744-6198
pISSN - 0029-6473
DOI - 10.1111/j.1744-6198.1996.tb00501.x
Subject(s) - expert system , computer science , black box , nursing diagnosis , artificial intelligence , machine learning , medicine , medical diagnosis , pathology
This study addresses the problems in evaluating nursing diagnostic artificial intelligence (AI) expert systems. Two separate experiments (N=49) were conducted using a computer expert system. The first experiment, the “white box” experiment (n=9), compared the diagnostic techniques applied by experienced RNs against the programmed techniques used by the expert system. The second experiment, the “black box” experiment (n= 40), compared diagnostic results of beginning nurses against the computer expert systems results. In some cases the computer outperformed the nurses and vice versa. The evaluation techniques, as applied in both experiments, enhance the ability of nurses to evaluate and select AI expert systems to be used in computer‐assisted diagnosis of nursing problems.